Systems | Development | Analytics | API | Testing

Software teams are shipping faster than ever — but testing still moves at human speed. Agile and DevOps have redefined delivery cycles, yet QA teams are often left struggling to keep up. Between evolving requirements, multiple environments, and constant regression demands, testers are expected to do more with less. One of the biggest bottlenecks? Test case design. Creating test cases manually is slow, repetitive, and prone to oversight.

AI is redefining what it means to build data-driven businesses. It’s no longer about mining insights from data—it’s about creating intelligent systems that can understand the state of the business and act on its behalf in real time. And in this new era, context data is king. That was the recurring theme at Current New Orleans, the data streaming event that drew in thousands of attendees, in-person and online.

Boosting the scalability of your backend applications often means rethinking how you manage asynchronous data. That’s where reactive programming comes into play: a paradigm that treats data streams as first-class citizens, allowing your code to respond to data changes as they occur. While Node.js wasn’t built with reactive programming in mind, libraries like RxJS and Bacon.js support that approach.

In parts one and two of this series, we familiarized ourselves with the ins and outs of Showcase. Now, we'll dive into samples, Showcase's main feature. Samples show how a component can be used in a real application.

Most organizations think they have an AI problem. What they really have is a data problem.

When can a team truthfully say “testing is done”? Have you ever shipped with doubts about whether enough testing actually happened? That hesitation is costly: escaped bugs, hotfixes, and lost customer trust. Test completion answers that question with objective evidence – not just opinions. This blog explains how to define, measure, and document test completion so teams can release with confidence.

‍San Francisco, US — November 12, 2025 — Bitrise, the leading DevOps platform for mobile, today released Bitrise Mobile Insights 2025, a comprehensive benchmarking report based on aggregated, anonymized data across 10M+ Bitrise builds over 3.5 years across its global customer base (January 2022–June 2025). “Innovation is accelerating, user expectations are rising, and engineering teams face constant pressure to deliver,” said Barnabás Birmacher, CEO of Bitrise.

During London Tech Week, our CEO, Mike Capone, joined CNBC to talk about the UK’s position in the global AI landscape, and why this is a moment the country should not waste. His message was simple. The UK already has many of the ingredients for leadership in AI. The question now is how fast it can move from innovation to scale.

We are noticing that some of our requests are starting to get slow and server load increases. Checking the process list of our server, for example with htop reveals that our FPM workers are taking up all of our CPU time. Checking the health with our basic toolset of lsof to show open network connections and strace to show syscalls does not reveal any activity. This means that the workers are spending time processing data without any externally visible activity.

If you manage SAP data, you recognize this pattern: Business users need to update records daily (pricing changes, purchase orders, customer information), but they lack SAP expertise. And IT teams are overwhelmed with data entry requests. If you stick with manual processes, you face errors and delays. You need an SAP automation tool that meets you where you are without a huge learning curve.